Build Your Own AI Agent – Full Course with OpenAI, Langchain, Render Deployment

freeCodeCamp
freeCodeCampJun 2, 2026

Why It Matters

It shows how non‑technical founders can instantly convert Slack community activity into actionable lead intelligence, accelerating growth without hiring extra analysts.

Key Takeaways

  • Build a Slack AI bot using Node.js, OpenAI, LangChain.
  • Automate member research, fit scoring, and Slack notifications.
  • Store results securely in a Render‑hosted PostgreSQL database.
  • Deploy the entire stack on Render with free tier resources.
  • Ideal for SaaS founders and community managers seeking lead qualification.

Summary

The video walks viewers through creating a production‑ready AI‑powered Slackbot that automatically researches new community members and assigns a fit score, using OpenAI’s GPT‑4, LangChain, and Node.js.

It details setting up a free PostgreSQL instance on Render, configuring environment variables, installing Express, Axios, Slack Bolt, and LangChain packages, and wiring Slack events (team_join, member_joined_channel) to trigger an analysis pipeline that calls OpenAI, fetches user profiles, and stores results.

Anna demonstrates the bot with a sample user “John Durr” – the system pulls his email and GitHub data, generates a concise report and fit score, and posts it to a private Slack channel, illustrating end‑to‑end automation.

For SaaS founders and community managers, this workflow turns passive Slack joins into qualified leads, reduces manual vetting, and showcases a low‑cost, scalable deployment model that can be extended with additional data sources or custom prompts.

Original Description

Learn to build and deploy intelligent AI agents that bridge the gap between LLMs and real-world automation to handle complex research and data analysis. This comprehensive course takes you from zero to deployment, using OpenAI and Node.js to create a production-ready tool complete with a PostgreSQL database on Render.
🔗 Sign up for Render: https://www.render.com
Course developed by @aniakubow
🏗️ Render provided a grant to make this course possible.
⭐️ Chapters ⭐️
0:00:00 Introduction
0:02:24 Getting started on Render.com
0:04:14 Setting up our project
0:08:19 Packages that we need
0:11:26 Slack AI Agent logic
0:14:53 Setting up Slack events
0:29:48 Analysing members logic
0:57:06 Posting analysis to our Slack channel
1:09:06 Start logic
1:16:00 Secret variables and where to find them
1:22:54 Database logic
1:34:34 Testing our app works
1:38:15 Deploying our app

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